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README.md

@@ -1,10 +1,10 @@
 ---
-title: Holybot
-emoji: 🌍
-colorFrom: pink
-colorTo: green
+title: HolyBot
+emoji: 😻
+colorFrom: green
+colorTo: red
 sdk: gradio
-sdk_version: 3.29.0
+sdk_version: 3.20.1
 app_file: app.py
 pinned: false
 ---

app.py

@@ -0,0 +1,254 @@
+import openai
+import pinecone
+import gradio as gr
+import os
+import json
+
+# initiates pinecone
+
+
+def init_pinecone(apikey, environment):
+    pinecone.init(api_key=apikey, environment=environment)
+
+
+def qa_gita(query, openaikey):
+    # Basic Checks
+    if not query:
+        return "Please enter your query."
+    if not openaikey:
+        return "Please enter openaikey."
+
+    openai.api_key = openaikey
+
+    response = openai.Embedding.create(
+        input=[query], model="text-embedding-ada-002")
+    embedding = response["data"][0]["embedding"]
+
+    pinecone_api_key_gita = os.getenv("PINECONE_API_KEY_GITA")
+    pinecone_environment = os.getenv("PINECONE_ENVIRONMENT_GITA")
+
+    init_pinecone(pinecone_api_key_gita, pinecone_environment)
+
+    index = pinecone.Index("gita")
+
+    with open("data.json", "r") as f:
+        data = json.loads(f.read())
+
+    res = index.query(vector=(embedding), top_k=8)
+
+    ids = [i["id"] for i in res["matches"]]
+
+    context = ""
+
+    for id in ids:
+        context = context + str(id) + ": " + data["gita"][str(id)] + "\n\n"
+
+    systemprompt = f"You are not an AI Language model. You will be a Bhagwad Gita Assistant to the user. Restrict Yourself to the context of the question."
+
+    userprompt = f"Verses:\n\n{context}\n\nQuestion: {query}\n\nAnswer:\n\n"
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": systemprompt},
+            {"role": "user", "content": userprompt},
+        ],
+        max_tokens=256,
+        temperature=0.0,
+    )
+
+    answer = response["choices"][0]["message"]["content"]
+
+    return answer, context
+
+
+def qa_bible(query, openaikey):
+    # Basic Checks
+    if not query:
+        return "Please enter your query."
+    if not openaikey:
+        return "Please enter openaikey."
+
+    openai.api_key = openaikey
+
+    response = openai.Embedding.create(
+        input=[query], model="text-embedding-ada-002")
+    embedding = response["data"][0]["embedding"]
+
+    pinecone_api_key_bible = os.getenv("PINECONE_API_KEY_BIBLE")
+    pinecone_environment = os.getenv("PINECONE_ENVIRONMENT_BIBLE")
+
+    init_pinecone(pinecone_api_key_bible, pinecone_environment)
+
+    index = pinecone.Index("bible")
+
+    with open("data.json", "r") as f:
+        data = json.loads(f.read())
+
+    res = index.query(vector=(embedding), top_k=8)
+
+    ids = [i["id"] for i in res["matches"]]
+
+    context = ""
+
+    for id in ids:
+        context = context + str(id) + ": " + data["bible"][str(id)] + "\n\n"
+
+    systemprompt = f"You are not an AI Language model. You will be a Bible Assistant to the user. Restrict Yourself to the context of the question."
+
+    userprompt = f"Verses:\n\n{context}\n\nQuestion: {query}\n\nAnswer:\n\n"
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": systemprompt},
+            {"role": "user", "content": userprompt},
+        ],
+        max_tokens=256,
+        temperature=0.0,
+    )
+
+    answer = response["choices"][0]["message"]["content"]
+
+    return answer, context
+
+
+def qa_quran(query, openaikey):
+    # Basic Checks
+    if not query:
+        return "Please enter your query."
+    if not openaikey:
+        return "Please enter openaikey."
+
+    openai.api_key = openaikey
+
+    response = openai.Embedding.create(
+        input=[query], model="text-embedding-ada-002")
+    embedding = response["data"][0]["embedding"]
+
+    pinecone_api_key_quran = os.getenv("PINECONE_API_KEY_QURAN")
+    pinecone_environment = os.getenv("PINECONE_ENVIRONMENT_QURAN")
+
+    init_pinecone(pinecone_api_key_quran, pinecone_environment)
+
+    index = pinecone.Index("quran")
+
+    with open("data.json", "r") as f:
+        data = json.loads(f.read())
+
+    res = index.query(vector=(embedding), top_k=8)
+
+    ids = [i["id"] for i in res["matches"]]
+
+    context = ""
+
+    for id in ids:
+        context = context + str(id) + ": " + data["quran"][str(id)] + "\n\n"
+
+    systemprompt = f"You are not an AI Language model. You will be a Quran Assistant to the user. Restrict Yourself to the context of the question."
+
+    userprompt = f"Verses:\n\n{context}\n\nQuestion: {query}\n\nAnswer:\n\n"
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": systemprompt},
+            {"role": "user", "content": userprompt},
+        ],
+        max_tokens=256,
+        temperature=0.0,
+    )
+
+    answer = response["choices"][0]["message"]["content"]
+
+    return answer, context
+
+
+def cleartext(query, output, references):
+    """
+    Function to clear text
+    """
+    return ["", "", ""]
+
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+        """
+    <h1><center><b>HolyBot</center></h1>
+    """
+    )
+    gr.Markdown(
+        """
+    HolyBot answers your queries and gives relevant verses based on Bhagwad Gita/ Quran/ Bible holy books, built using OpenAI ChatGPT, and Pinecone Index.
+    - Get your [OpenAI API Key](https://platform.openai.com/account/api-keys) before proceeding further.
+    - Refer to the codebase for this project on [GitHub](https://github.com/ravi03071991/HolyBot)."""
+    )
+    with gr.Tabs():
+        openaikey = gr.Textbox(lines=1, label="Enter Your OpenAI Key")
+        with gr.TabItem("Bhagwad Gita"):
+            with gr.Row():
+                with gr.Column():
+                    query1 = gr.Textbox(
+                        lines=2, label="Enter Your Situation/ Query.")
+                    submit_button1 = gr.Button("Submit")
+                with gr.Column():
+                    ans_output1 = gr.Textbox(lines=5, label="Answer.")
+                    references1 = gr.Textbox(
+                        lines=10, label="Relevant Verses.")
+                    clear_button1 = gr.Button("Clear")
+        with gr.TabItem("Quran"):
+            with gr.Row():
+                with gr.Column():
+                    query2 = gr.Textbox(
+                        lines=2, label="Enter Your Situation/ Query.")
+                    submit_button2 = gr.Button("Submit")
+                with gr.Column():
+                    ans_output2 = gr.Textbox(lines=5, label="Answer.")
+                    references2 = gr.Textbox(
+                        lines=10, label="Relevant Verses.")
+                    clear_button2 = gr.Button("Clear")
+        with gr.TabItem("Bible"):
+            with gr.Row():
+                with gr.Column():
+                    query3 = gr.Textbox(
+                        lines=2, label="Enter Your Situation/ Query.")
+                    submit_button3 = gr.Button("Submit")
+                with gr.Column():
+                    ans_output3 = gr.Textbox(lines=5, label="Answer.")
+                    references3 = gr.Textbox(
+                        lines=10, label="Relevant Verses.")
+                    clear_button3 = gr.Button("Clear")
+
+    # For Bhagwad Gita
+    # Submit button for submitting query.
+    submit_button1.click(qa_gita, inputs=[query1, openaikey], outputs=[
+                         ans_output1, references1])
+    # Clear button for clearing query and answer.
+    clear_button1.click(
+        cleartext,
+        inputs=[query1, ans_output1, references1],
+        outputs=[query1, ans_output1, references1],
+    )
+
+    # For Quran
+    # Submit button for submitting query.
+    submit_button2.click(qa_quran, inputs=[query2, openaikey], outputs=[
+                         ans_output2, references2])
+    # Clear button for clearing query and answer.
+    clear_button2.click(
+        cleartext,
+        inputs=[query2, ans_output2, references2],
+        outputs=[query2, ans_output2, references2],
+    )
+
+    # For Bible
+    # Submit button for submitting query.
+    submit_button3.click(qa_bible, inputs=[query3, openaikey], outputs=[
+                         ans_output3, references3])
+    # Clear button for clearing query and answer.
+    clear_button3.click(
+        cleartext,
+        inputs=[query3, ans_output3, references3],
+        outputs=[query3, ans_output3, references3],
+    )
+demo.launch(debug=True)

requirements.txt

@@ -0,0 +1,3 @@
+openai
+pinecone-client
+gradio