Update app.py

app.py

@@ -3,41 +3,31 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("Futuresony/future_ai_12_10_2024.gguf")
 
-def format_alpaca_prompt(history, user_input, system_prompt):
-    """Formats input in Alpaca/LLaMA style with history"""
-    history_prompt = "\n".join([f"User: {h[0]}\nAssistant: {h[1]}" for h in history])
+def format_alpaca_prompt(user_input, system_prompt):
+    """Formats input in Alpaca/LLaMA style"""
     prompt = f"""{system_prompt}
 
-{history_prompt}
+### Instruction:
+{user_input}
 
-User: {user_input}
-Assistant:
+### Response:
 """
     return prompt
 
 def respond(message, history, system_message, max_tokens, temperature, top_p):
-    formatted_prompt = format_alpaca_prompt(history, message, system_message)
-    cleaned_response = ""
+    formatted_prompt = format_alpaca_prompt(message, system_message)
 
-    # Retry mechanism to regenerate response if it is empty
-    for _ in range(3):  # Retry up to 3 times
-        response = client.text_generation(
-            formatted_prompt,
-            max_new_tokens=max_tokens,
-            temperature=temperature,
-            top_p=top_p,
-        )
+    response = client.text_generation(
+        formatted_prompt,
+        max_new_tokens=max_tokens,
+        temperature=temperature,
+        top_p=top_p,
+    )
 
-        # Extract only the response
-        cleaned_response = response.split("Assistant:")[-1].strip()
-
-        if cleaned_response:
-            break  # Exit loop if a valid response is generated
-
-    if not cleaned_response:
-        cleaned_response = "I'm sorry, I couldn't generate a response. Please try again."
-
-    yield cleaned_response  # Output only the answer
+    # ✅ Extract only the response
+    cleaned_response = response.split("### Response:")[-1].strip()
+    
+    yield cleaned_response  # ✅ Output only the answer
 
 demo = gr.ChatInterface(
     respond,
@@ -50,4 +40,4 @@ demo = gr.ChatInterface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()