update app.py for text generation

changed from chat template to text generation

app.py

@@ -4,59 +4,28 @@ 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("gargabhi/shortrecipes20M")
 
+description = """
+# Generate short stories using custom verb or noun or adjective
+"""
 
-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})
+prompt = 'Write a story. In the story, try to use the verb "fight", the noun "king" and the adjective "brave". Possible story:'
 
-    response = ""
+def generate_text(input_prompt="",max_len=200, top_p=0.95, top_k=10, temp=0.5):
+  return client.text_generation(input_prompt, do_sample=True, max_new_tokens=max_len, temperature=temp, top_k=top_k)
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
 
-        response += token
-        yield response
+inputs = [
+    gr.Textbox(prompt, label="Prompt text"),
+    gr.Slider(minimum=50, maximum=250, step=50, label="max-lenth generation", value=200),
+    gr.Slider(0.0, 1.0, label="top-p", value=0.95),
+    gr.Textbox(label="top-k", value=10,),
+    gr.Slider(minimum=0.0, maximum=4.0, step=0.1, label="temperature", value=0.5),
+]
+outputs = [gr.Textbox(label="Generated Text")]
 
-"""
-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.", 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)",
-        ),
-    ],
-)
+demo = gr.Interface(fn=generate_text, inputs=inputs, outputs=outputs, allow_flagging=False, description=description)
 
 
 if __name__ == "__main__":