Create app.py

app.py

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+
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+"""
+For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+"""
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+#client = InferenceClient("unsloth/Llama-3.2-1B-Instruct")
+
+
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    messages = [{"role": "system", "content": system_message}]
+
+    for val in history:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
+
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+
+
+    try:
+        for message in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            # Ensure the message has a valid structure
+            if not message or not isinstance(message, dict):
+                continue
+            
+            try:
+                # Extract content and finish reason
+                content = message.choices[0].delta.content
+                finish_reason = message.choices[0].finish_reason
+
+                # Check if the content is empty
+                if content.strip() == "":
+                    # If the finish reason is 'stop', it's expected and we can break the loop
+                    if finish_reason == "stop":
+                        print("Stream ended normally.")
+                        break
+                    else:
+                        print("Received unexpected empty content, skipping...")
+                        continue
+
+                response += content
+                yield response
+
+            except (AttributeError, IndexError, KeyError) as e:
+                print(f"Error processing message: {e}")
+                continue
+
+    except Exception as e:
+        print(f"Unexpected error: {e}")
+        yield "An error occurred while generating the response."
+
+    # Final check if the response is empty
+    if response.strip() == "":
+        yield "No response generated. Please try again or adjust the settings."
+
+
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="You are a friendly Chatbot. Your name is Juninho.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        ),
+    ],
+)
+
+
+if __name__ == "__main__":
+    demo.launch()