add requiretment

app.py

@@ -1,47 +1,63 @@
 import gradio as gr
 import subprocess
 
-def greet(name1, name2, name3, name4):
-    # Storing each input in a variable, you can process or save them as you like
-    str1 = name1
-    str2 = name2
-    str3 = name3
-    str4 = name4
-
-    with open('abstractsave.txt', 'w') as f:
-        f.write(name4)
+
+def greet(name):
     
     def run_command(command):
         result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
 
-        output_string = result.stdout
-        error_string = result.stderr
+    output_string = result.stdout
+    error_string = result.stderr
+    
+    output_string, error_string= run_command("pip install optogpt")
+    return "Hello " + output_string + error_string  + "!"
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch()   
+    
+    
+# def greet(name1, name2, name3, name4):
+#     # Storing each input in a variable, you can process or save them as you like
+#     str1 = name1
+#     str2 = name2
+#     str3 = name3
+#     str4 = name4
+
+#     with open('abstractsave.txt', 'w') as f:
+#         f.write(name4)
+    
+#     def run_command(command):
+#         result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+
+#         output_string = result.stdout
+#         error_string = result.stderr
 
-        return output_string, error_string
+#         return output_string, error_string
 
-######     output_string1, error_string1= run_command("pip install optogpt")
-    output_string1, error_string1=run_command("curl -sSL https://install.python-poetry.org | python3 -")
-    output_string2, error_string2= run_command(f"poetry run runoak set-apikey -e openai {str1}")
-    run_command(f"poetry run runoak set-apikey -e bioportal {str2}")
-    run_command(f"poetry run runoak set-apikey -e hfhub-key {str3}")
-#     output = run_command(f"ontogpt extract -t gocam.GoCamAnnotations -i ./abstract.txt")
-    output = run_command(f"ontogpt extract -t gocam.GoCamAnnotations -i ./abstractsave.txt")
+# ######     output_string1, error_string1= run_command("pip install optogpt")
+#     output_string1, error_string1=run_command("curl -sSL https://install.python-poetry.org | python3 -")
+#     output_string2, error_string2= run_command(f"poetry run runoak set-apikey -e openai {str1}")
+#     run_command(f"poetry run runoak set-apikey -e bioportal {str2}")
+#     run_command(f"poetry run runoak set-apikey -e hfhub-key {str3}")
+# #     output = run_command(f"ontogpt extract -t gocam.GoCamAnnotations -i ./abstract.txt")
+#     output = run_command(f"ontogpt extract -t gocam.GoCamAnnotations -i ./abstractsave.txt")
 
-#     output_string1, error_string1=run_command("poetry")# ontogpt")
+# #     output_string1, error_string1=run_command("poetry")# ontogpt")
 
     
-#     return location
-    # For the purpose of this example, I'm just returning the values concatenated
-    return f"Inputs received: {str1}, {str2}, {str3}, {str4}, '--------------',   '--------------', {output_string1},{error_string1},{output_string2},{error_string2},{output}"
+# #     return location
+#     # For the purpose of this example, I'm just returning the values concatenated
+#     return f"Inputs received: {str1}, {str2}, {str3}, {str4}, '--------------',   '--------------', {output_string1},{error_string1},{output_string2},{error_string2},{output}"
     
 
-# Define 5 text input boxes with labels
-input_boxes = [
-    gr.inputs.Textbox(label="openai api key"),
-    gr.inputs.Textbox(label="bioportal api key"),
-    gr.inputs.Textbox(label="HuggingFace Hub api key"),
-    gr.inputs.Textbox(label="Input data"),
-]
+# # Define 5 text input boxes with labels
+# input_boxes = [
+#     gr.inputs.Textbox(label="openai api key"),
+#     gr.inputs.Textbox(label="bioportal api key"),
+#     gr.inputs.Textbox(label="HuggingFace Hub api key"),
+#     gr.inputs.Textbox(label="Input data"),
+# ]
 
-iface = gr.Interface(fn=greet, inputs=input_boxes, outputs="text")
-iface.launch()
+# iface = gr.Interface(fn=greet, inputs=input_boxes, outputs="text")
+# iface.launch()