Update app.py

app.py

@@ -1,11 +1,56 @@
+from huggingface_hub import InferenceClient
 import gradio as gr
-from transformers import pipeline
 
-def correct_text(text):
-    model_id = "grammarly/coedit-large"
-    pipe = pipeline("text2text-generation", model=model_id)
-    corrected = pipe(text)[0]['generated_text']
-    return corrected
+client = InferenceClient("grammarly/coedit-large")
 
-interface = gr.Interface(fn=correct_text, inputs="text_area", outputs="text")
-interface.launch()
+def generate(prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
+    temperature = float(temperature)
+    if temperature < 1e-2: temperature = 1e-2
+    top_p = float(top_p)
+    
+    generate_kwargs = dict(temperature=temperature, max_new_tokens=max_new_tokens, top_p=top_p, repetition_penalty=repetition_penalty, do_sample=True, seed=42,)
+    
+    #formatted_prompt = format_prompt_grammar(f"Corrected Sentence: {prompt}", history)
+    #formatted_prompt = format_prompt(f"{system_prompt} {prompt}", history)
+    formatted_prompt = "Fix grammatical errors in this sentence: " + prompt
+    print("\nPROMPT: \n\t" + formatted_prompt)
+
+    # Generate text from the HF inference
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+
+    for response in stream:
+        output += response.token.text
+        yield output
+    return output
+
+
+
+additional_inputs=[
+    gr.Slider( label="Temperature", value=0.9, minimum=0.0, maximum=1.0, step=0.05, interactive=True, info="Higher values produce more diverse outputs", ),
+    gr.Slider( label="Max new tokens", value=256, minimum=0, maximum=1048, step=64, interactive=True, info="The maximum numbers of new tokens", ),
+    gr.Slider( label="Top-p (nucleus sampling)", value=0.90, minimum=0.0, maximum=1, step=0.05, interactive=True, info="Higher values sample more low-probability tokens", ),
+    gr.Slider( label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens", )
+]
+
+
+gr.ChatInterface(
+    fn=generate,
+    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
+    additional_inputs=additional_inputs,
+    title="My Grammarly Space",
+    concurrency_limit=20,
+).launch(show_api=False)
+
+
+#import gradio as gr
+#from transformers import pipeline
+
+#def correct_text(text):
+#    model_id = "grammarly/coedit-large"
+#    pipe = pipeline("text2text-generation", model=model_id)
+#    corrected = pipe(text)[0]['generated_text']
+#    return corrected
+
+#interface = gr.Interface(fn=correct_text, inputs="text_area", outputs="text")
+#interface.launch()