Update app.py

app.py

@@ -8,56 +8,49 @@ from langchain_g4f import G4FLLM
 g4f.debug.logging = True  # Enable logging
 g4f.check_version = False  # Disable automatic version checking
 #print(g4f.version)  # Check version
-print(g4f.Provider.Ails.params)  # Supported args
+#print(g4f.Provider.Ails.params)  # Supported args
 
 
-url = "https://app.embedchain.ai/api/v1/pipelines/f14b3df8-db63-456c-8a7f-4323b4467271/context/"
 
+url = "https://app.embedchain.ai/api/v1/pipelines/024a60fa-cfc3-41a2-a27b-2f6a04c1a6fe/context/"
 
 
 def greet(name):
-    payload = {
+  payload = {
   "query": f"{name}",
-  "count": 15
-    }
-    headers = {
-  'Authorization': 'Token ec-pbVFWamfNAciPwb18ZwaQkKKUCCBnafko9ydl3Y5',
-}
-
-    
-    response = requests.request("POST", url, headers=headers, json=payload)
-
-    print(name)
-    c = response.text
-
-
-llm = LLM = G4FLLM(model=models.gpt_35_turbo_16k)
-
-
-def hein(q):
-    re = llm(q)
-    return re
-    
-
-with gr.Blocks() as demo:
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox()
-    clear = gr.ClearButton([msg, chatbot])
-
-    def respond(message, chat_history):
-        print(message)
-        print("ok")
-        print(chat_history)
-        res = hein(q)
-        bot_message = res
-        chat_history.append((message,bot_message))
-        time.sleep(2)
-        return "", chat_history
-
-    msg.submit(respond, [msg, chatbot], [msg, chatbot])
-
-demo.launch()
-
-
-#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-#iface.launch()
+  "count": 25 }
+  headers = {
+  'Authorization': 'Token ec-fBwP02l3yodIa40BHkSEdhqVQmelK8pNsbrUew2J',}
+  response = requests.request("POST", url, headers=headers, json=payload)
+  
+  print(response.text)
+  print(name)
+  c = response.text
+  llm = LLM = G4FLLM(model=models.gpt_35_turbo_16k    )
+  res = llm(f"""
+      Use the following pieces of context to answer the query at the end.
+      If you don't know the answer, just say that you don't know, don't try to make up an answer.
+
+      ${c}
+
+      Query: ${name}
+
+      Helpful Answer:
+    system_prompt: |
+     Agis en tant qu'assistant juridique gabonais  Répons au question en français et en citant les articles .
+
+    """)
+  print(res) 
+  return res
+
+
+
+iface = gr.Interface(
+    fn=greet,
+    inputs="text",
+    outputs=gr.Textbox(label="Réponse"),
+    title="bot",
+    description=" Chatbot-law-code-pénal ")
+
+iface.launch()
+