Add app.py

app.py

@@ -0,0 +1,60 @@
+import gradio as gr
+from transformers import pipeline
+
+summarizer = pipeline('summarization')
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+
+model_name = "deepset/roberta-base-squad2"
+nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
+
+examples = [
+        [   'Question-Answer',
+             '',
+            'The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks.',
+            'Why is model conversion important?'
+         ],
+        [   'Question-Answer',
+             '',
+            "The Amazon rainforest is a moist broadleaf forest that covers most of the Amazon basin of South America", 
+            "Which continent is the Amazon rainforest in?"
+        ],
+        [   'Question-Answer',
+             '',
+            'I am a Programmer.',
+            'Who am I?' 
+        ]
+    ]
+
+def summarize_text(text):
+    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    summary = summary[0]['summary_text']
+    return summary
+
+def question_answer(context, question):
+    QA_input = {
+        'context': context,
+        'question': question
+    }
+    res = nlp(QA_input)
+    return (res['answer'])
+
+def home_func(model_choice, summ_text, qa_context, qa_question):
+    if model_choice=="Text Summarizer":
+        if summ_text == "":
+            return "Input correct text to be summarized"
+        return summarize_text(summ_text)
+    elif model_choice=="Question-Answer":
+        if qa_context == "" or qa_question == "":
+            return "Choose correct Context and associated questions"
+              
+        return question_answer(qa_context, qa_question) 
+
+iface = gr.Interface(fn = home_func, 
+                     inputs = [gr.inputs.Dropdown(["Text Summarizer", "Question-Answer"], type="value"), 
+                               gr.inputs.Textbox(lines=5, placeholder="Enter your text here...", label="Text to be summarized"),
+                               gr.inputs.Textbox(lines=5, placeholder="Choose from examples", label="Context"),
+                               gr.inputs.Textbox(lines=5, placeholder="Choose from examples", label="Question")],
+                     outputs="text",
+                     examples=examples)
+
+iface.launch()