update

app.py

@@ -7,14 +7,6 @@ API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
 HF_TOKEN = os.environ["HF_TOKEN"]
 headers = {"Authorization": f"Bearer {HF_TOKEN}"}
 
-#def query(payload):
-#	response = requests.post(API_URL, headers=headers, json=payload)
-#	return response.json()
-	
-#output = query({
-#	"inputs": "Can you please let us know more details about your ",
-#})
-
 
 prompt1 = """
 word: risk
@@ -40,9 +32,11 @@ A: Let’s think step by step.
 
 
 
-def text_generate(prompt):
+def text_generate(prompt, input_prompt):
 
   print(f"*****Inside poem_generate - Prompt is :{prompt}")
+  if input_prompt != '':
+    prompt = input_prompt
   json_ = {"inputs": prompt,
             "parameters":
             {
@@ -87,7 +81,8 @@ with demo:
   with gr.Row():
     #example_prompt = gr.Radio( ["Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA: Let’s think step by step.\n"], label= "Choose a sample Prompt")
     example_prompt = gr.Radio( ["Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: how many users signed up in the past month?\nPostgreSQL query: "], label= "Choose a sample Prompt")
-
+    input_prompt = gr.Textbox(label="Or Write text to get SQL commands...")
+  
     #input_word = gr.Textbox(placeholder="Enter a word here to generate text ...")
     generated_txt = gr.Textbox(lines=7)
     #output_image = gr.Image(type="filepath", shape=(256,256))
@@ -95,7 +90,7 @@ with demo:
   b1 = gr.Button("Generate SQL")
   #b2 = gr.Button("Generate Image") 
 
-  b1.click(text_generate,inputs=example_prompt, outputs=generated_txt) #input_word
+  b1.click(text_generate,inputs=[example_prompt, input_prompt], outputs=generated_txt) #input_word
   #b2.click(poem_to_image, poem_txt, output_image)
   #examples=examples