fix

app.py

@@ -8,19 +8,15 @@ HF_TOKEN = os.environ["HF_TOKEN"]
 headers = {"Authorization": f"Bearer {HF_TOKEN}"}
 
 def text_generate(prompt): 
-
   print(f"*****Inside TEXT_generate - Prompt is :{prompt}")
-  # print(f"length of input_prompt is {len(input_prompt)}")
   print(f"length of prompt is {len(prompt)}")
-  # if len(prompt) == 0:
-  #  prompt = input_prompt 
     
   json_ = {"inputs": prompt,
             "parameters":
             {
             "top_p": 0.9,
           "temperature": 1.1,
-          "max_new_tokens": 250,
+          "max_new_tokens": 350,
           "return_full_text": True,
           "do_sample":True,
           }, 
@@ -55,15 +51,12 @@ with demo:
         """Exploration of the capabilities of the [BigScienceW Bloom](https://twitter.com/BigscienceW) large language model. Currently, due to size-limits on Prompt and Token generation, we are only able to feed very limited-length text as Prompt and are getting very few tokens generated in-turn. This makes it difficult to keep a tab on theme of text generation. This Space is created by [Samim](https://samim.io) for research and fun"""
         )
   with gr.Row():
-    # example_prompt = gr.Radio( ["Once upon a time in a land far away"], label= "Choose a sample Prompt")
-    #with gr.Column:  
     input_prompt = gr.Textbox(label="Write text to prompt the model", value="Once upon a time in a land far away", lines=6)
     
   with gr.Row():
     generated_txt = gr.Textbox(lines=3)
 
   b1 = gr.Button("Generate Text")
-  # b1.click(text_generate,inputs=[example_prompt, input_prompt], outputs=generated_txt) 
   b1.click(text_generate,inputs=[input_prompt], outputs=generated_txt) 
   
   with gr.Row():